Michelle Schimmel

Michelle Schimmel

@michelleschimmel.bsky.social

PhD candidate at the University of Amsterdam. Information environments, political identity & divides, computational social science

141 followers247 following3 posts

Michelle Schimmel reposted

‘Polarization’ has become the master concept for diagnosing our current democratic crisis. But this is not polarization. It is the radicalization of the political right. By misdiagnosing it, we risk becoming complicit in the crisis. 🧵 Just out in Perspectives on Politics doi.org/10.1017/S153...

Michelle Schimmel reposted

Now out: our study on what citizens imagine their political opponents to be like in Brazil, the UK, Germany & Poland 💭 We use open-ended survey answers to show how political stereotypes often blur issues, groups, traits, voters and elites. Paper: doi.org/10.1177/0032... See thread for a summary 👇

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Eelco Harteveld@eelcoharteveld.bsky.social

What do citizens imagine their political opponents to be like? Polarization is real, but it also lives in our heads, fueled by stereotypes. We asked people in 🇧🇷, 🇬🇧, 🇩🇪 & 🇵🇱 to describe opponents in their own words. With @jnareal.bsky.social, @markuswagner.bsky.social & @piotrmarczynski.bsky.social 👇

Michelle Schimmel reposted

Michelle Schimmel reposted

Michelle Schimmel reposted

Knife crime! Pronouns! Meat bans! Some political issues lead to "hotter", more emotional and polarizing debates than others. We show how these "trigger points" reveal a contested structure of moral expectations and how they get weaponized by polarization entrepreneurs. OA @bjsociology.bsky.social 🧵

onlinelibrary.wiley.comWhy do Public Debates Escalate? Trigger Points and the Moral Dynamics of “Hot Politics”Escalating, emotionally charged, and moralized forms of controversy are a central feature of contemporary politics. Our study develops a framework for understanding how political debates between ordi...

Michelle Schimmel reposted

New in Nature: LLMs give "the party line" in the languages of authoritarian regimes. This works when they control the media, which feeds pretraining data. We show more state control over the media means less critical LLMs. 6 studies spanning 38 languages & 13 models. Details ↓

Michelle Schimmel reposted

LLMs have been widely reported as left-wing biased. The finding has shaped policy and debate — with Trump banning "Woke AI". Our new paper challenges this story. It's not that the models are biased. It's that they think the auditor is. 🧵 w/ michelleschimmel.bsky.social‬arxiv.org/pdf/2604.27633

Michelle Schimmel reposted

Like Grok and Attie, more and more social media platforms now integrate AI directly in online conversations. But how do these AI bots actually impact political discourse? We ran a series of experiments to find out. (Spoiler: the news are not altogether great.) osf.io/preprints/so...

osf.ioOSF

Grateful and happy my Master‘s thesis work – with fantastic supervision from @fhopp.bsky.social – received a Top Student Paper award from @icacm.bsky.social at ICA! :))

brilliantfhopp.bsky.socialBluesky

Congratulations to @michelleschimmel.bsky.social and @fhopp.bsky.social on receiving a Top Student Paper Award for their work “Engage and divide: The role of moral language for cross-ideological interactions on social media” #ICA25

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